Utilizing Fog Computing to Secure Smart Health Care Monitoring (SHM) in Smart Cities

Currently, a large number of cloud-based facilities are being prolonged to the network's edge, with the goal of reducing response time and bandwidth costs in activities such as healthcare in smart cities. Smart health concepts use Internet-related wearable devices for e-monitoring and diagnostics in order to provide low-cost healthcare. The healthcare sector is being confronted with new issues as the amount of complexity of patient data grows day by day. Smart Healthcare Monitoring (SHM) is required to make the healthcare structure smarter in order to preserve data and ensure confidentiality. An SHM is made up of various IoT devices, sensors, and actuators that gather and store statistics from the patient's physique. Cloud computing-based storage is the most frequent method for storing data in the SHM but it is very costly. To overcome this problem, fog computing is used to process the information close to the body device system, which minimizes latency and enhances throughput. In this chapter, we proposed a secure service-oriented fog computing architecture that has been validated using a publicly available dataset. Fog computing uses privacy-preserving techniques to secure data and solve privacy concerns. The findings and discussions confirm the suggested architecture's suitability for SHM applications. The prototype was created utilizing a use case and a sequence diagram. The test cases are taken from online repositories. In comparison to a similar technique, the proposed method's implementation, and security analysis display high security, low energy, and low power.